A method and system for embedding machine-readable information into an image

Abstract

The present invention relates to a method and system for embedding machine-readable information into an image. The method comprises the steps of selecting a template graph as a main graph of a Chinese-sensible graph code, wherein the Chinese-sensible graph code comprises the main graph and information bearing units distributed in a designated area in the main graph; generating information area information content of the main body graph according to external input, and converting the pre-coding information into a pre-coding information character string; generating an error correction code according to the image feature format information character string and the pre-coding information character string; In the selected specified area, according to a given modulation mode, arranging the information in the determined area of the Chinese-sensible image code; and printing or displaying on the media according to the setting state of the main body graph. The regularly arranged data modules areplaced at specific positions or specific areas of the image according to a specific superposition method, so that the machine-readable information is attached to the image information without influencing the overall structure of the image, and the problems of two aspects of two-dimensional code graph beautification and graph recognition lack of prior information are solved at the same time.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of image information processing, and in particular to a method and system for embedding machine-readable information in an image. Background technique [0002] In the process of rapid development of information technology, the problem of information collection and information acquisition has always been the core issue in the process of information technology research and development and application. At present, there are two main methods of automatic information acquisition. One is to collect sensing information through image cameras, temperature and humidity sensors, microphones, etc., to convert the signals in the information collection area of ​​the sensing equipment into data information, and further pass the mode The method of identifying and classifying and extracting features is processed and transformed into valuable information that can be utilized by the information system...

AI Technical Summary

Problems solved by technology

[0007] First, these solutions only use the graphic information redundancy (functional graphics) and information redundancy (error correction) of the two-dimensional code, and are still technical solutions within the traditional two-dimensional code technical framework. Two-dimensional codes and commodities or products Packaging design elements such as the LogoGo or image elements are still separated and cannot be said to have been integrated

[0008] Second, these existing technical solutions are all at the cost of reducing the reading performance of the two-dimensional code (the type of software that can be read is limited, the average speed of software reading is slow, and the environmental requirements are improved, etc.). Graphical visual effects will inevitably make the QR code difficult to read

Due to the limitations of real-time and computing and storage resources on the mobile terminal, related classification calculations and feature value extraction are relatively limited, which means that the accuracy and efficiency of related pattern recognition are relatively limited, and errors are prone to occur

[0012] Second, the existing intelligent image recognition technology for mobile terminals can only extract the classification feature information of the image, that is, it can only use the deep neural network technology to obtain the fingerprint feature information of the image on the basis of the training set. The OCR technology of recognition technology still has a high error rate in the obtained text information, so it is still not applicable to occasions that require accurate individual recognition

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